Mon, 6 May 2013[1] arXiv:1305.0764 [pdf, ps, other]Calculation of Exact Estimators by Integration Over the Surface of an n-Dimensional Sphere 4 F' e* w0 H. HAnthony J Webster/ b+ |) J+ s3 t4 i6 x
Subjects: Statistics Theory (math.ST) / F1 E, W$ ^1 T6 K5 l$ ~ ! o8 H. \/ [' F+ K[2] arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization1 k/ U* I1 g. Q% b' E! E W, q Sébastien Loustau, L; g0 J; f% u4 |
Comments: 30 pages. arXiv admin note: text overlap with arXiv:1205.14177 v9 M2 z: `4 o# r/ J/ ~7 H4 E% A- H
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML); l( I, ~( [* {" ?/ p
* [" q, ^7 e( s, F" W
[3] arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression9 \7 {0 J1 k6 ^- }1 B Yun Yang, David B. Dunson' R" |* d0 H, C1 g2 z) ?
Comments: 36 pages, 2 figures ( t/ r! s' ?; @, f! VSubjects: Statistics Theory (math.ST) $ G9 I0 @1 W& w 8 o4 M) {7 B+ ^; aFri, 3 May 2013[4] arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition - H! T0 d8 [5 y$ QAdel Javanmard, Andrea Montanari . v @: B3 n8 T5 e( H5 [. ]8 k! M0 NComments: 32 pages, 3 figures 5 v5 o& r/ g2 I8 ISubjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)- @" O8 Z; o9 l
, E% T7 p/ s5 w, b; \[5] arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix : o5 }" q7 m% ]3 C F& n- DShurong Zheng, Zhidong Bai: m" d Z$ U0 |/ ^2 h% P- Q$ e5 _6 s+ ~
Subjects: Statistics Theory (math.ST)/ f0 G4 r w4 [/ L' }
_0 Y* R6 h* L3 V% N: l7 z
[6] arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study2 _# X" W9 T. E7 |1 y8 d. q Rida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas V+ z, }" [2 b1 z# e( TSubjects: Statistics Theory (math.ST)3 V2 g, f- e) X. Q, n! s
- }, C8 a6 y. v* G1 S3 U4 r# e( ~; `[7] arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two" d, _9 G3 q z% P$ p& h Elizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik o# ^5 Y; G7 J: nComments: 22 pages, 1 figure* x$ l! P/ K( O$ w$ P; w
Subjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST) / b! f( p( V0 F9 h% o) B0 A9 {, h }9 N6 w# t* s/ O4 r+ ` Thu, 2 May 2013[8] arXiv:1305.0179 (cross-list from math.PR) [pdf, other]Species dynamics in the two-parameter Poisson-Dirichlet diffusion model8 c* F# `& C1 A# Y! `( y5 _9 M% b Matteo Ruggiero + m) N- c% v* S _% F+ DSubjects: Probability (math.PR); Statistics Theory (math.ST) * C/ i* {; h* c& q7 ^( ~ / O4 p/ k- P1 j t+ |+ MWed, 1 May 2013[9] arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments, ?6 R/ t. G N6 Z; m+ {, R$ f7 ~8 \ Roberto Fontana, Fabio Rapallo, Maria-Piera Rogantin 8 Q0 j9 X0 k% O' ?/ W1 ZComments: 18 pages, 1 figure : x: Z. Q1 k1 f% VSubjects: Statistics Theory (math.ST); Methodology (stat.ME): U0 i! V0 i4 s% C7 i, I
. A |3 s& `% w* G+ b5 }1 I+ f
[10] arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability * c# x% L4 a* ?( {& e- Q2 EAditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan 0 t/ d. [% N& X5 d1 P% p3 M; ]' oComments: 51 pages, 2 figures $ u9 v0 y/ ? g7 Y# A* WSubjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST) 8 L0 K1 y9 k1 L0 y. y 1 \0 M' s1 X1 m9 j' z) F( h* }3 [! f: N[11] arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables * c8 d8 w5 ]' W/ Y1 yAzar Khosravani, Constantin Rasinariu9 p$ d( l9 |& U9 B! J+ Y4 j4 f5 z
Comments: 7 pages, 4 figures- i( p4 h7 w! P4 p' B/ Z' A
Subjects: Probability (math.PR); Statistics Theory (math.ST)$ {/ K1 z1 d0 V! F; B/ u1 S# `. n
3 @# E6 V- A3 Z& O# H" z Tue, 30 Apr 2013[12] arXiv:1304.7678 [pdf, ps, other]Large and moderate deviation principles for averaged stochastic approximation method for the estimation of a regression function & Z' d0 N% E' i) O8 TYousri Slaoui' B) c0 |( {% Y0 j
Comments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors 9 i+ N7 Z2 y; n' p8 NSubjects: Statistics Theory (math.ST)6 Y5 @0 C3 J+ K& r1 Y, M# R7 n
4 I% _3 A0 _% ~ o2 ?[13] arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model# W2 M# t5 u! `0 k2 i; { Oleg Lepski, Nora Serdyukova: ~- t+ A5 \4 a7 _. W; q. B g
Comments: 44 pages. Lemma 1 is common to "Adaptive estimation in the single-index model via oracle approach" (ArXiv:1111.3563) as well as Theorem 5 coincides with Theorem 4 in that paper. arXiv admin note: substantial text overlap with arXiv:1111.35630 F: W7 y4 G* k' z/ ?) R
Subjects: Statistics Theory (math.ST); Probability (math.PR) 6 N2 m) @. S/ M( C+ k [% W" |6 @4 E2 [' ^) }) C% X[14] arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean ~2 ~- j9 q% x2 l7 u" i% E( P/ ZRyan Martin, Stephen G. Walker ( ~* W1 S3 K( h: \; N/ U' m; w' bComments: 14 pages, 2 figures, 2 tables( v# L* X: E- {7 L& k
Subjects: Statistics Theory (math.ST)6 q% b. Y. x3 w8 q; T+ j0 O5 Y
F2 n" T7 g3 v' j+ f/ ?[15] arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes7 U( e0 ?% h! a% J- X' C Shota Gugushvili, Peter Spreij6 ^5 G& j x# R/ ]* W% `
Comments: 10 pages8 H! S8 o# g8 Q, z# C1 K
Subjects: Statistics Theory (math.ST) Q3 k; B6 @" J# L ! F) k+ L$ `+ D( e " Z4 q& c0 t# _' \9 \0 a* W _ 2 V' Z- J2 ^0 V j3 P# D* ^% ~' p* {, f